Fri.Mar 21, 2025

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The Human Side of LLM Model Sizes

Analytics Vidhya

The scale of LLM model sizes goes beyond mere technicality; it is an intrinsic property that determines what these AIs can do, how they will behave, and, in the end, how they will be useful to us. Much like how the size of a company or a team influences its capabilities, LLM model sizes create […] The post The Human Side of LLM Model Sizes appeared first on Analytics Vidhya.

Modeling 152
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Using Claude 3.7 Locally

KDnuggets

Learn how to integrate the Claude 3.7 model into the Msty application and VSCode as the AI assistant you need for your workspace.

Modeling 120
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Guide to Adaptive RAG Systems with LangGraph

Analytics Vidhya

Large language models answer questions using the knowledge they learned during training. This fixed knowledge base limits them. They can’t give you current or highly specific information. Retrieval-Augmented Generation (RAG) helps by letting LLMs pull in external data, but even RAG needs help with complex questions. Adaptive RAG offers a solution.

Modeling 140
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¿Qué es el análisis predictivo? Transformar los datos en conocimientos futuros

CIO Business Intelligence

Definicin de anlisis predictivo El anlisis predictivo es una categora de anlisis de datos avanzados que tiene como objetivo hacer predicciones sobre resultados futuros basados en datos histricos y tcnicas de anlisis como el modelado estadstico, la minera de datos y el aprendizaje automtico (ML). Muchas organizaciones estn empezando a aprovechar la IA predictiva para acelerar y automatizar el anlisis de datos estadsticos.

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Going Beyond Chatbots: Connecting AI to Your Tools, Systems, & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

If AI agents are going to deliver ROI, they need to move beyond chat and actually do things. But, turning a model into a reliable, secure workflow agent isn’t as simple as plugging in an API. In this new webinar, Alex Salazar and Nate Barbettini will break down the emerging AI architecture that makes action possible, and how it differs from traditional integration approaches.

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Evaluating LLMs Series Part 1: Evaluating Language Models with BLEU Metric

Analytics Vidhya

In artificial intelligence, evaluating the performance of language models presents a unique challenge. Unlike image recognition or numerical predictions, language quality assessment doesn’t yield to simple binary measurements. Enter BLEU (Bilingual Evaluation Understudy), a metric that has become the cornerstone of machine translation evaluation since its introduction by IBM researchers in 2002.

Metrics 239
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Goodbye legacy networks, hello “cafe-like” branch

CIO Business Intelligence

For decades, businesses have relied on MPLS and SD-WAN to connect branch offices and remote workers to critical applications. That worked when everything lived in the corporate data center. But the world shiftedapplications moved to the cloud, workers became mobile, and cybercriminals got more creative. Meanwhile, many IT departments are stuck in the past, clinging to infrastructure that no longer meets the needs of the modern workforce.

IoT 100

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Arm-암페어 모두 품은 소프트뱅크··· 서버 프로세서 시장에 미칠 영향은?

CIO Business Intelligence

65 ( 9 5,000 ) . Arm CPU . Arm . . x86 , AI . . , AI . (Techarc) AI . 192 2023 512 CPU . , , , , . . Arm Arm . 2016 Arm 3 3,000 ( 32 ) . Arm . LY, , AI . , x86 .

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Can SmolDocling Make Document Parsing More Efficient?

Analytics Vidhya

Digital documents have long presented a dual challenge for both human readers and automated systems: preserving rich structural nuances while converting content into machine-processable formats. Traditional methods, whether relying on complex ensemble pipelines or massive foundational models, often struggle to balance accuracy with computational efficiency.

Modeling 154
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Huawei collaborated with Zambia’s Ministry of Technology and Science to promote rural digitization

CIO Business Intelligence

The impact of technology on the world has extended beyond urban cities. With the Internet and the rise of AI and Big Data, digital technology is making its way to every corner of the world, transforming existing infrastructures to digitalize and boost rural economies and social service levels to improve livelihoods. Against this background, Zambias Ministry of Science and Technology collaborated with Huawei to launch its first smart village site in Muchila, Zambia, in July 2024, providing electr

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Build an Audio RAG with AssemblyAI, Qdrant & DeepSeek-R1

Analytics Vidhya

Tired of manually sifting through hours of audio to find key insights? This guide teaches you to build an AI-powered chatbot that transforms recordings – meetings, podcasts, interviewsinto interactive conversations. Using AssemblyAI for precise transcription with speaker labels, Qdrant for fast data storage, and DeepSeek-R1 via SambaNova Cloud for smart responses, youll create a RAG […] The post Build an Audio RAG with AssemblyAI, Qdrant & DeepSeek-R1 appeared first on Analytics

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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Digital Infrastructure Summit, telón de fondo de las mejores prácticas empresariales para la infraestructura TI del mañana

CIO Business Intelligence

El avance irrefrenable de la tecnologa y el agitado comps de la innovacin estn obligando a las organizaciones a redefinir la infraestructura de TI sobre la que se apalanca el negocio. As, a medida que las empresas no cesan en sus esfuerzos por mantenerse competitivas en un mercado cada vez ms exigente, la tecnologa se percibe como un activo clave para evitar caer en la irrelevancia.

ROI 90
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Retrieval Augmented Generation Explained

Dataiku

A technique called retrieval augmented generation (RAG) continues to gain momentum as one of the most valuable approaches for making generative AI (GenAI) applications more reliable and useful. But what exactly is RAG, and why should you be excited about its potential? In this updated look at RAG, we'll break down the basics in plain English and explore how recent innovations are making this technology even more powerful.

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CISO가 ‘사고로 인한 피해’를 잘 보고하는 방법

CIO Business Intelligence

2017 (Equifax) . 14 , , . , (Maersk) (NotPetya) , 100 . , , 3 . IBM , 2023 3 2024 2 488 . 10% . CISO . . CISO . CISO . CSO CISO . . . CISO . . , CISO . . . , , , . , (Shmoocon) . , . . . . , . .

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Connect, share, and query where your data sits using Amazon SageMaker Unified Studio

AWS Big Data

The ability for organizations to quickly analyze data across multiple sources is crucial for maintaining a competitive advantage. Imagine a scenario where the retail analytics team is trying to answer a simple question: Among customers who purchased summer jackets last season, which customers are likely to be interested in the new spring collection?

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State of AI in Sales & Marketing 2025

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

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La brecha entre la percepción de trabajadores y dirección en materia de IA se agudiza

CIO Business Intelligence

La b recha entre los objetivos de las empresas y el grado de preparacin de los empleados en torno a la inteligencia artificial (IA) se agudiza. As se desprende del Informe sobre el estado de la adopcin digital en 2025: Edicin especial sobre IA elaborado por WalkMe, una compaa de SAP. Mientras las empresas continan aumentando la inversin en esta tecnologa -est previsto que el gasto en IA crezca un 64% en 2025, de 14 a 23 millones de dlares, en las grandes empresas-, para muchas organizaciones tod

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Chart Industries turns to NaaS to solve multicloud merger challenge

CIO Business Intelligence

The expansion of multicloud and increasing workload complexity have some IT organizations rethinking networking for a new era. While some enterprises have dedicated cloud networking experts in house to handle the nuances of interconnecting multiple cloud, others are partnering with consulting firms to tackle global interconnectivity issues. And some are tapping into specialized service providers to insulate them from multicloud networking challenges altogether.

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Intel bajo el mandato de Tan: Lo que los compradores de TI empresariales deben saber

CIO Business Intelligence

El nombramiento por parte de Intel del veterano de los semiconductores Lip-Bu Tan como consejero delegado marca un momento crtico para la empresa y sus clientes empresariales. Con la creciente competencia de AMD, los chips basados en Arm y las alternativas RISC-V, Intel se enfrenta a una presin cada vez mayor para defender su dominio x86. Aunque muchas empresas siguen dependiendo de Intel para las cargas de trabajo de los centros de datos, la aceleracin de la IA y las implementaciones de PC, el

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“백도어 수용하느니 프랑스 떠날 것”··· 암호화 메시징 벤더 시그널의 배수진

CIO Business Intelligence

19 . CEO X . . . . . . . PRNG, . CEO . , . . . . , . . , . . , . . . . , . . . . , , ( ) . . 12 . , . . .

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m